How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Microsoft PowerApps with Microsoft SQL Server with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
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Where is Microsoft SQL Server used?
Financial Frenzy Facilitator
- In the money-minting worlds of banks, SQL Server juggles juggernauts of transactions faster than a caffeine-fueled accountant on tax day.
Retail's Data Dressing Room
- Imagine a digital wardrobe that dresses up retail data in fancy analytics, helping stores predict your next fashion faux pas purchase.
Healthcare's Data-Driven Doctor
- Acting as the stethoscope for health data, SQL Server listens to the heartbeats of medical records, keeping patient care in tip-top shape.
Manufacturing's Efficiency Engineer
- SQL Server is the oil in the machine of manufacturing, ensuring the gears of production and inventory don't grind to a catastrophic halt.
Microsoft SQL Server Alternatives
PostgreSQL
Open-source relational database with emphasis on extensibility and standards compliance. Used for web, mobile, geospatial, and analytics applications.
SELECT * FROM users WHERE age > 25;
- Excellent concurrency without read locks
- Support for JSON and other NoSQL features
- Complex and diverse indexing
- Can be challenging to tune for performance
- Less integrated business intelligence tools
- Smaller community than MySQL
MySQL
Popular open-source relational database used in web applications, known for its ease of use, reliability, and performance.
UPDATE products SET price = price * 0.9 WHERE category_id = 2;
- Widely used with large community support
- Easy to set up and manage
- Good replication support
- May struggle with very large databases
- Less advanced features than SQL Server
- Performance can dip in large-scale joins
MongoDB
NoSQL database designed for ease of development and scalability, with a flexible schema to store JSON-like documents.
db.users.find({"age": {"$gt": 25}});
- High write loads and horizontal scaling
- Schema-less design for quick iterations
- Agile and flexible data models
- Consistency can be an issue
- Lacks traditional ACID transactions
- Complexity in data aggregation
Quick Facts about Microsoft SQL Server
A Historical Giggle with SQL Server
Guess who showed up at the tech party in 1989? SQL Server did, rocking a collab between Microsoft and Sybase. It was like two brainiacs creating a Frankenstein's database monster, only less monstrous and more useful.
The Year the Server Got a Life of Its Own
In the land of tech in 1994, SQL Server decided to ghost Sybase and stick with Windows. Talk about a solo career! It was the tech equivalent of going from being a backup dancer to a pop star, except with databases.
When SQL Server Went to Rehab: The 2005 Makeover
2005: The year SQL Server went to rehab and came out with fabulous new features. It was like a reality TV star post-makeover episode, flaunting shiny tools like dynamic management views and encryption goodies. Behold code-nest:
CREATE VIEW dbo.ServerInfo
AS
SELECT SERVERPROPERTY('Edition') AS Edition,
SERVERPROPERTY('ProductLevel') AS ProductLevel;
GO
What is the difference between Junior, Middle, Senior and Expert Microsoft SQL Server developer?
Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities |
---|---|---|---|
Junior | 0-2 | 50,000 - 70,000 |
|
Middle | 2-5 | 70,000 - 90,000 |
|
Senior | 5-10 | 90,000 - 120,000 |
|
Expert/Team Lead | 10+ | 120,000 - 150,000+ |
|
Top 10 Microsoft SQL Server Related Tech
Transact-SQL (T-SQL)
Imagine you're the Shakespeare of databases – that's what it's like to use T-SQL, the poetic extension of SQL for Microsoft SQL Server. It's where you write the sonnets that query, manipulate, and massage your data into revealing its deepest secrets. Without T-SQL, a SQL Server developer is like a poet without a pen – completely out of their element! Behold its majestic syntax:
SELECT TOP 10 * FROM Sonnets WHERE Heartache = 'Lesser'
SQL Server Management Studio (SSMS)
If T-SQL is your pen, SSMS is your trusty notebook. A playground for database gurus, it's the all-in-one toolkit where data dreams come true – from running queries to analyzing performance. It's like the Swiss Army knife that every database professional needs on their belt. Dive into its cozy UI and feel like the commander of a data-starship:
-- Launch the hyperspace query
EXEC sp_who 'ActiveSessions'
SQL Server Integration Services (SSIS)
Ever wanted to be a data magician? SSIS is your magic wand for ETL (Extract, Transform, Load) wizardry. It's how you shuffle data between databases as if you were dealing cards in a Vegas casino – slick, smooth, and with a touch of flair. Transform raw data into polished insights as if by magic.
-- Abra-cadabra data transformation
EXECUTE [SSISDB].[catalog].[create_execution] @package_name=N'DataWizard.dtsx'
SQL Server Reporting Services (SSRS)
If data tells a story, SSRS is your press printing out the first edition at dawn. Generate snazzy reports that turn numbers into narratives and engage everyone from the data newbie to the CEO. It's like being a journalist, but for data, and without the caffeine addiction. Roll the presses!
-- Scoop this sizzling report!
SELECT Name, SubscriptionID FROM ReportServer.dbo.Subscriptions
SQL Server Analysis Services (SSAS)
Dreaming of being a detective? SSAS is the magnifying glass you use for data sleuthing. Unlock the mysteries buried within via cube investigations and multidimensional analysis. It's the final 'Aha!' moment in a movie, but for data analysts.
-- Uncover the data villain!
SELECT [Measures].[Profit] ON COLUMNS FROM [AdventureWorks]
PowerShell Scripting
The script-sorcerer’s tool of choice, PowerShell is perfect for automating the mundanity out of your database duties. It's like teaching a bunch of robots to do your chores so you can focus on saving (data) worlds. And who wouldn't want an army of data-bots at their service?
# Enlist your bot-army
Invoke-Sqlcmd -Query "BACKUP DATABASE AdventureWorks TO DISK='C:\Backups\AdventureWorks.bak'"
Azure Data Services
Hop onto the cloud like it's a magic carpet ride with Azure Data Services. Elevate your SQL Server on-prem to the land of scalable, robust, and easy-to-maneuver databases. It's like giving your data wings so it can soar through the sky with ease.
-- Fly to the cloud!
New-AzureRmSqlDatabase -ResourceGroupName "ResourceGroup01" -ServerName "Server01" -DatabaseName "MySampleDatabase"
Database Normalization
Embrace your inner neat freak with the art of database normalization. It's like KonMari for your data – remove redundancy, increase consistency, and ensure each piece of data sparks joy. A well-normalized database is a happy database!
-- Joyful data decluttering
SELECT DISTINCT Name FROM Patrons
Entity Framework
Time-travel to a world of object-relational mapping with Entity Framework. Let's ditch the archaic T-SQL spells for some sleek C# sorcery. It's like trading in your broomstick for a hoverboard – modern, cool, and guaranteed to make CRUD operations a breeze.
using (var context = new SchoolContext())
{
var students = context.Students.ToList();
}
Visual Studio
Visual Studio is the Swiss Army IDE (Integrated Development Environment) that turns the chore of coding into a slick, enjoyable experience. It's like having a loyal sidekick who finishes your sentences, only it's your code – and without the creepy factor. A must-have for those crafting masterpieces in C# or VB.NET.
// Create a SQL Server project magic within Visual Studio!
SqlConnectionStringBuilder builder = new SqlConnectionStringBuilder();
builder.DataSource = "localhost";
builder.UserID = "your_username";
builder.Password = "your_super_secret_password";
builder.InitialCatalog = "master";